J Cancer 2018; 9(21):3886-3893. doi:10.7150/jca.27960
Impact of the Receptor for Advanced Glycation End Products Genetic Polymorphisms on the Progression in Uterine Cervical Cancer
1. Institute of Medicine, Chung Shan Medical University, Taichung, Taiwan
2. Department of Obstetrics and Gynecology, Chiayi Chang Gung Memorial Hospital Chiayi, Taiwan
3. Department of Nursing, Chang Gung University of Science and Technology, Chiayi Campus, Chiayi, Taiwan
4. School of Medicine, Chung Shan Medical University, Taichung, Taiwan
5. Department of Obstetrics and Gynecology, Chung Shan Medical University Hospital, Taichung, Taiwan
6. Department of Obstetrics and Gynecology, Changhua Christian Hospital, Changhua, Taiwan
7. Department of Medical Research, Chung Shan Medical University Hospital, Taichung, Taiwan
#These authors contributed equally to this work.
Lee CY, Ng SC, Hsiao YH, Yang SF, Hsu CF, Wang PH. Impact of the Receptor for Advanced Glycation End Products Genetic Polymorphisms on the Progression in Uterine Cervical Cancer. J Cancer 2018; 9(21):3886-3893. doi:10.7150/jca.27960. Available from https://www.jcancer.org/v09p3886.htm
To date, few studies have explored the effects of single nucleotide polymorphisms (SNPs) of the receptor for advanced glycation end products (RAGE) in uterine cervical cancer. Therefore, we conducted this study to investigate the involvement of RAGE SNPs in cervical cancer. In total, 117 patients with cervical invasive cancer, 84 with precancerous lesions, and 320 normal women were recruited consecutively. Real-time polymerase chain reaction was used to examine the genotypic frequencies of RAGE SNPs. The results indicated that among the four RAGE SNPs, only the GT/TT genotype of rs184003 was distributed differently between patients with cervical neoplasias and the normal controls, with GG as a reference. Moreover, cervical cancer patients with genotypes TA/AA in rs1800624 exhibited a lower risk of parametrium invasion, moderate-to-poor cell differentiation, and pelvic lymph node metastasis. In conclusion, RAGE SNPs rs1800624 was associated with some clinicopathological variables in cervical cancer.
Keywords: RAGE, single nucleotide polymorphism, uterine cervical cancer, recurrence-free survival, overall survival
In Taiwan, uterine cervical invasive cancer was the second most common type of gynecological cancer according to a 2013 annual cancer registry report. It was also reported to be the third most prevalent cancer among Taiwanese women. Cervical carcinogenesis is usually considered a continuum of neoplastic transition from low-grade cervical intraepithelial neoplasia (CIN 1; histologically, mild dysplasia) to high-grade CINs [including CIN 2 (histologically, moderate dysplasia) and CIN 3 (including severe dysplasia and carcinoma in situ)] to invasive cancer [1, 2]. If mitoses and immature cells occupy the lower third of the cervical epithelium, the lesion is categorized as CIN 1. In CIN 2 and CIN 3, mitoses and immature cells occupy the middle and upper thirds of the epithelium, respectively. Moreover, the Bethesda system designates low- and high-grade squamous intraepithelial lesions as the cytologic counterparts of these lesions [3, 4]. Approximately 10% of LSIL and 20%-30% of HSIL may progress to invasive cancer of uterine cervix [1, 2].
The receptor for advanced glycation end products (RAGE) is a member of the immunoglobulin superfamily of cell surface molecules, the corresponding RAGE gene of which is located in chromosome 6p21.3 [5, 6]. It is expressed in many tissues, including the liver, heart, and kidney . Thus, RAGE is involved in various pathophysiological processes, such as inflammation, and in cardiovascular disease, Alzheimer disease, carcinogenesis, and metastasis [8-11]. RAGE may bind with advanced glycation end products (AGEs), high-mobility group box 1 protein (HMGB1) , and certain S100/calgranulin family members [12, 13]. Another crucial ligand of RAGE may be glycosaminoglycan, which often attaches to proteoglycans on the surface of tumor cells and is critical in malignant transformation and cancer metastasis .
If a different single nucleotide develops in the shared sequence of a gene in more than 5% of the population for a species, a single nucleotide polymorphism (SNP) is identified . Genetic polymorphisms are probably related to the development and occurrence of certain diseases, such as cancer. Genetic variants may affect the promoter activity and gene expression [16-19]. SNPs have a modifying function on genetic expression and are related to an increased risk of ovarian and breast tumorigenesis . Cumulative evidence has demonstrated that more than 50 types of genetic polymorphisms are present in the region of the RAGE gene, the majority of which are SNPs [21, 22]. To our knowledge, few studies have associated the genetic distribution of RAGE polymorphisms with the progression of cervical cancer and patient prognosis. Therefore, we investigated the relationships between RAGE genetic variants, cervical tumorigenesis, clinicopathological characteristics, and the recurrence-free and overall survival of patients with cancer in Taiwan.
Materials and Methods
In total, 521 women (117 invasive cancer, 84 precancerous lesions of the uterine cervix, and 320 normal controls) were recruited. The cancer stages of the 117 women with cervical invasive cancer were categorized according to the 2009 International Federation of Gynecology and Obstetrics Classification. The patients with cervical cancer were treated through standard protocols at the Department of Obstetrics and Gynecology in Chung Shan Medical University Hospital, Taiwan from August 1993 to August 2014. Cervical punch biopsy under colposcopy, large loop excision of the transformation zone, and total abdominal or vaginal hysterectomy were performed on the 84 patients with precancerous lesions. The diagnoses of lesions were confirmed on the basis of the pathological reports before the treatment commenced. All individuals were Taiwanese women living in Central Taiwan. The Institutional Review Board of Chung Shan Medical University approved this study (CSMUH IRB: CS14014). All participants provided informed consent.
Blood sample collection and genomic DNA extraction
Blood samples were collected from all participants and placed into Vacutainer tubes containing ethylenediaminetetraacetic acid. QIAamp DNA blood mini kits (Qiagen, Valencia, CA, USA) were used extract DNA from white blood cells as previously described . The products were then used as polymerase chain reaction templates.
Single nucleotide polymorphisms (SNPs) by real time-PCR and genotyping
Four RAGE genetic variants were evaluated based on the data of International HapMap Project and based on their wide associations with the development of various types of cancer [24-27]. Genotypes of RAGE SNPs 1704G>T (rs184003) (C_2412456_10), -374T>A (rs1800624) (C_3293837_1), -429T>C (rs1800625) (C_8848033_1), and Gly82Ser (rs2070600) (C_15867521_20) were determined by ABI StepOne Real-Time PCR System (Applied Biosystems, Foster City, CA, USA), and analyzed with SDS vers. 3.0 software, as described previously [24, 28].
Analysis of variance was used to examine age difference among patients with cervical invasive cancer, those with precancerous lesions, and the controls for multiple comparisons. Then, a post hoc analysis was performed for detecting significant differences using the Scheffe test. The relationships between the distribution of RAGE SNPs and incidence of cervical neoplasias (including invasive cancer and precancerous lesions) were assessed through chi-squared or Fisher's exact tests. Logistic regression modeling was performed to analyze the genotypic distributions of the RAGE SNPs before and after controlling for age between the patients with cervical neoplasias and controls. However, a multinomial logistic regression model was used for comparing patients with invasive cancer, those with precancerous lesions, and controls. Odds ratios (ORs) and ORs adjusted for age (AORs) and their 95% confidence intervals (CIs) were calculated.
The chi-squared or Fisher's exact tests were applied to relate the various clinicopathological factors to RAGE genetic polymorphisms. The patients were followed to calculate the recurrence-free and overall survival between primary surgery and recurrence, death, or end of the study (December 4, 2017) by using the Kaplan-Meier curve model in a univariate analysis for RAGE SNPs and clinicopathological variables. In the multivariate analysis of survival time, a Cox proportional hazard model with a forward stepwise approach was performed to examine the effects of RAGE SNPs and various clinicopathological variables on recurrence-free and overall survival. Hazard ratios (HRs) and their 95% CIs were determined thereafter. A p value of <0.05 indicated statistical significance. SPSS (version 22.0) and WinPepi (version 10.0) were employed for the statistical analyses.
Significant differences were observed for the age distribution between patients with cervical neoplasias and controls (48.8 ± 13.5 vs. 44.0 ± 10.2 years, p < 0.001). The age difference between patients with cervical invasive cancer and those with precancerous lesions (54.1 ± 12.3 vs. 41.7 ± 11.6 years) and between those with cervical invasive cancer and controls (54.1 ± 12.3 vs. 44.0 ± 10.2 years) were significant (both p <0.001). However, no significant differences in age distribution were observed between patients with precancerous lesions and controls (41.7 ± 11.6 vs. 44.0 ± 10.2 years, p = 0.208).
Association of RAGE genetic variant frequencies with uterine cervical neoplasias
The genotypic distributions of RAGE SNPs in women with cervical neoplasias and controls are summarized in Table 1. The genotypic distribution of RAGE SNP rs184003 satisfied the Hardy-Weinberg equilibrium in the normal controls [p>0.05, χ2 value: 3.82 < 5.99, degree of freedom=2]. Distributions of other RAGE SNPs rs1800624, rs1800625 and rs2070600 all conformed to this equilibrium (p>0.05, χ2 value: 0.06; p>0.05, χ2 value: 0.01 and p>0.05, χ2 value: 3.43, respectively). The GT/TT genotypes of RAGE SNP rs184003 tended to be distributed differently between patients with cervical neoplasias and controls when GG was used as a reference (OR = 0.69, 95% CI = 0.47-1.00, p = 0.051; Table 1). After controlling for age, women carrying GT/TT has a lower risk of cervical neoplasias (AOR = 0.65, 95% CI = 0.44-0.96, p = 0.031; Table 1). However, no significantly differences was noted in the frequencies for other RAGE SNPs, namely rs1800624, rs1800625, and rs2070600, between patients with cervical neoplasias and controls or between patients with cervical neoplasias and controls, even after controlling for age.
Relationships of RAGE genetic variant frequencies with uterine cervical carcinogenesis
When the cervical neoplasias group were reclassified into invasive cancer and precancerous lesions subgroups, differences in the GT/TT genotypes of rs184003 were not observed among patients with cervical invasive cancer and precancerous lesions as well as controls, with GG as a reference (p = 0.135; Table 2). After controlling for age, women with GT/TT did not have a lower risk of precancerous lesions and invasive cancer of the uterine cervix (AOR = 0.65, 95% CI = 0.38-1.10, p = 0.110 and AOR = 0.67, 95% CI = 0.41-1.08, p = 0.101, respectively; Table 2). The distributions of other RAGE SNPs rs1800624, rs1800625 and rs2070600 did not significantly differ between patients with cervical invasive cancer, those with precancerous lesions, and controls.
Genetic variant distributions of the receptor for advanced glycation end products gene in Taiwanese women with neoplasias of the uterine cervix and normal controls.
|Variables||Normal controls (n =320)||Cervical neoplasiasa (n=201)||ORs (95% CIs)a||p values ||AORs (95% CIs)b||Adjusted p values|
|GT||116||57||0.69 (0.47-1.01)||0.64 (0.43-0.96)||0.029|
|TT||8||4||0.70 (0.21-2.37)||0.80 (0.23-2.76)||0.722|
|GT/TT||124||61||0.69 (0.47-1.00)||0.65 (0.44-0.96)||0.031|
|TT||8||4||0.79 (0.24-2.67)||0.92 (0.27-3.16)||0.895|
|TA||72||39||0.85 (0.55-1.31)||0.88 (0.56-1.37)||0.571|
|AA||6||7||1.82 (1.60-5.52)||1.67 (0.54-5.15)||0.372|
|TA/AA||78||46||0.92 (0.61-1.40)||0.95 (0.62-1.44)||0.79|
|AA||6||7||1.89 (0.63-5.70)||1.72 (0.56-5.27)||0.345|
|TC||48||19||0.59 (0.34-1.04)||0.61 (0.34-1.09)||0.094|
|CC||2||1||0.75 (0.07-8.29)||0.88 (0.08-10.12)||0.917|
|TC/CC||50||20||0.60 (0.34-1.04)||0.62 (0.35-1.09)||0.098|
|CC||2||1||0.80 (0.07-8.83)||0.94 (0.08-10.79)||0.957|
|GA||121||80||1.13 (0.78-1.63)||1.17 (0.80-1.70)||0.427|
|AA||10||10||1.70 (0.69-4.22)||1.60 (0.62-4.09)||0.331|
|GA/AA||131||90||1.17 (0.82-1.67)||1.20 (0.83-1.73)||0.331|
|AA||10||10||1.62 (0.66-3.97)||1.50 (0.59-3.80)||0.392|
Statistical analysis: logistic regression model or chi-square or Fisher's exact tests.
aCervical neoplasias included precancerous lesions and invasive cancer of the uterine cervix.
bThe adjusted p values as well as adjusted odds ratios and their 95% confident intervals were calculated by logistic regression model after controlling age.
cUsed as a reference for comparison to calculate the odds ratios of other genotypes. 95% CIs, 95% confidence intervals.
Genetic variant distributions of the receptor for advanced glycation end products gene in Taiwanese women with uterine cervical invasive cancer or precancerous lesions and normal controls.
|Pre-cancerous lesions (n = 84)||Invasive cancer |
(n = 117)
|p values||AORs (95% CIs)a||Adjusted p values||AORs (95% CIs)b||Adjusted p values|
|GT||116||22||35||0.64 (0.37-1.10)||0.109||0.66 (0.40-1.08)||0.098|
|TT||8||2||2||0.77 (0.16-3.77)||0.752||0.81 (0.16-4.23)||0.806|
|GT/TT||124||24||37||0.65 (0.38-1.10)||0.110||0.67 (0.41-1.08)||0.101|
|TT||8||2||2||0.89 (0.18-4.31)||0.884||0.94 (0.18-5.82)||0.937|
|TA||72||19||20||1.06 (0.59-1.89)||0.847||0.77 (0.43-1.38)||0.387|
|AA||6||4||3||2.97 (0.80-10.96)||0.103||1.04 (0.24-4.62)||0.954|
|TA/AA||78||23||23||1.20 (0.69-2.06)||0.524||0.80 (0.46-1.38)||0.416|
|AA||6||4||3||2.93 (0.80-10.73)||0.105||1.10 (0.25-4.85)||0.899|
|TC||48||8||11||0.49 (0.21-1.14)||0.098||0.75 (0.36-1.56)||0.441|
|TC/CC||50||8||12||0.47 (0.21-1.09)||0.078||0.79 (0.39-1.62)||0.526|
|GA||121||32||48||1.05 (0.64-1.74)||0.842||1.26 (0.79-2.03)||0.333|
|AA||10||3||7||1.15 (0.30-4.38)||0.833||1.84 (0.57-5.88)||0.306|
|GA/AA||131||35||55||1.06 (0.65-1.73)||0.814||1.31 (0.83-2.07)||0.254|
|AA||10||3||7||1.13 (0.30-4.22)||0.855||1.67 (0.53-5.25)||0.381|
Statistical analysis: multinomial logistic regression or chi-square or Fisher's exact tests.
aAdjusted p values and adjusted odds ratios with their 95% CIs were calculated using multinomial logistic regression models after controlling age between patients with cervical precancerous lesions and control women.
bAdjusted p values and adjusted odds ratios with their 95% CIs were estimated using multinomial logistic regression models after controlling age between patients with cervical invasive cancer and control women.
cUsed as a reference for comparison to estimate the odds ratios of other genotypes.
AORs, adjusted odds ratios; 95% CIs, 95% confidence intervals; u.a., unavailable.
Relationships of genotypic distribution of receptor for advanced glycation end products genetic varivants rs184003 and rs1800624 with clinicopathological parameters of the patients with invasive cancer of uterine cervix.
|Variable||GGb||GT/ TT||p value||ORs (95% CIs)||TTb||TA/ AA||p value||ORs (95% CIs)|
|≥ stage II||26||17||1.88 (0.76-4.65)||38||5||0.41 (0.11-1.32)|
|squamous cell carcinomab||62||28||1.00||73||17||1.00|
|adenocarcinoma||13||6||1.02 (0.29-3.26)||15||4||1.15 (0.25-4.24)|
|well (grade 1)b||17||5||1.00||14||8||1.00|
|moderate & poor (grades 2/3)||58||29||1.70 (0.53-6.46)||74||13||0.31 (0.10-1.03)|
|Stromal invasion depth||0.596||0.175|
|>10 mm||30||15||1.25 (0.50-3.09)||39||6||0.49 (0.14-1.51)|
|>4cm||28||16||1.52 (0.62-3.73)||39||5||0.40 (0.11-1.28)|
|invasion||21||12||1.43 (0.54-3.66)||31||2||0.20 (0.02-0.92)|
|invasion||15||10||1.67 (0.58-4.61)||23||2||0.32 (0.03-1.52)|
|Pelvic lymph node||0.848||0.035c|
|metastasis||21||10||1.09 (0.40-2.88)||29||2||0.22 (0.02-1.01)|
Statistical analyses: chi-square or Fisher's exact tests, cp<0.05
aSome clinicopathological data could not be obtained from the patients with cervical invasive cancer due to incomplete medical charts or records.
bAs a reference. ORs, odds ratios; 95% CIs, 95% confidence intervals.
Association of RAGE genetic polymorphisms with clinicopathological variables in patients with cervical cancer
Because the women with GT/TT genotype of rs184003 demonstrated lower risk of cervical neoplasias (with GG as a reference), we investigated the association of this RAGE SNP with clinicopathological variables in the patients with cervical cancer. However, no association between rs184003 and clinicopathological characteristics was noted (Table 3). Regarding the various clinicopathological factors of RAGE genetic variants, cervical cancer patients with TA/AA genotypes in rs1800624 exhibited lower risk of parametrium invasion (OR = 0.20, 95% CI = 0.02-0.92, p = 0.023) and tended to have moderate-to-poor cell differentiation (OR = 0.31, 95% CI = 0.10-1.03, p = 0.034) and pelvic lymph node metastasis (OR = 0.22, 95% CI = 0.02-1.01, p = 0.035) compared with those with genotype TT (Table 3). No significant associations were noted between other RAGE SNPs and clinicopathological variants (data not shown).
Univariate analysis and Kaplan-Meier curve models for recurrence-free and overall survival of patients with cervical cancer
We next evaluated the effects of rs1800624 and various clinicopathological parameters on the recurrence-free and overall survival of patients with cervical cancer. In the univariate analysis, we found no association of rs1800624 with patient survival (p = 0.156 and 0.204 for recurrence-free and overall survival, respectively; Table 4). However, the following were significantly associated with recurrence-free survival: cancer stage (p = 0.002), stromal invasion depth (p = 0.002), tumor diameter (p = 0.013), parametrium invasion (p = 0.016), vagina invasion (p = 0.022) and pelvic lymph node metastasis (p = 0.002; Table 4). Furthermore, the following were significantly associated with overall survival: cancer stage (p = 0.002), cell grading (p = 0.046), stromal invasion depth (p = 0.003), tumor diameter (p = 0.007), parametrium invasion (p = 0.001) and lymph node metastasis (p = 0.001; Table 4).
Multivariate analysis and Cox proportional hazard models for recurrence-free and overall survival of patients with cervical cancer
In a multivariate analysis, we observed no association between rs1800624 and patient survival (p = 0.409 and 0.330 for recurrence-free and overall survival, respectively; Table 5). A more advanced cancer stage was the only independent predictor of a less favorable recurrence-free survival for cervical cancer patients (HR = 3.86, 95% CI = 1.56-9.55, p = 0.004; Table 5). Only pelvic lymph node metastasis could independently predict poorer overall survival (HR = 3.30, 95% CI = 1.35-8.08, p = 0.009; Table 5). Other RAGE SNPs exhibited no influence on the recurrence-free and overall survival of patients with cervical cancer in univariate and multivariate analyses (data not shown).
RAGE is activated by binding with AGEs, HMGB1, and S100 proteins in cancer cells [12, 13]. Ligand formation not only initiates intracellular signal transduction but also upregulates RAGE expression . The interactions of RAGE with various ligands have crucial roles in cancer pathogenesis and progression , through cell proliferation and invasion occur . The binding of RAGE with S100A9 is essential in cervical cancer development . Tian et al. also reported that S100A7 bound to RAGE to promote the migration, invasion and metastasis of human cervical cancer cells . In addition, SNPs may exert a modifying function on gene expression. We inferred that RAGE may be involved in cervical carcinogenesis. The GT/TT genotype of rs184003 appeared to prevent these patients from susceptibility to cervical neoplasias. Yue et al. demonstrated a significant association between RAGE SNP rs1800624 and the risk of breast cancer in a Han Chinese population . However, this protective effect was found to disappear after cervical neoplasias were subdivided into invasive and precancerous lesions subgroups, even after controlling for age. Moreover, no other RAGE SNPs were involved in cervical carcinogenesis.
Su et al. revealed that RAGE SNP rs1800625 is involved in the formation of oral squamous cell carcinoma . It is also associated with early-stage liver carcinogenesis, and its protective role has been implicated in hepatocellular carcinoma progression . In contrast to our findings, Xu et al. suggested that RAGE Gly82Ser polymorphism (rs2070600), interacting with human papillomavirus (HPV) infection, was associated with cervical cancer development in a Chinese population . The authors revealed a different distribution of rs2070600 between patients with cancer and controls by using a stratification analysis for HPV infection. However, this difference was not observed between the smaller non-HPV-infected patients with cancer and non-HPV-infected controls. Furthermore, they also could not demonstrate an association of 1704G>T (rs184003), -374T>A (rs1800624), and -429T>C (rs1800625) with susceptibility to cervical cancer. Although HPV infection is a prominent cause of cervical cancer, many infected women do not have invasive cancer. Therefore, HPV infection itself is an inadequate indicator for cervical cancer. Other cofactors are required to interact with HPV infection for cervical invasive cancer formation.
This study has two limitations, which may explain the differences among results. First, data on HPV infection were limited. This may be partially attributed to the conservative attitude of Taiwanese women. Although HPV infection rates in HSIL and invasive cancer of uterine cervix were reported to be 84.3%-100% according to a study by the Taiwan Cooperative Oncologic Group , normal controls in Taiwan did not undergo HPV tests if their Pap smear reports were normal because HPV tests are not covered under the National Health Insurance program. Second, having multiple partners is a variable that probably had a substantial influence on the results in this study; however, this information frequently withheld by our participants, possibly because of the conservative attitude.
Our results revealed that among four RAGE SNPs, rs1800624 was the only genetic variant associated with clinicopathological characteristics of cervical cancer. The patients with cervical cancer patients with the TA/AA genotypes of rs1800624 had a lower risk of parametrium invasion, moderate-to-poor cell differentiation, and pelvic lymph node metastasis. To our knowledge, no study has reported the association of RAGE SNPs with clinicopathological variables of cervical cancer. By contrast, in Taiwanese patients with oral cancer, the RAGE SNP rs1800625 indicated increased cancer risk; it was also associated with late-stage and large-size tumors in a Taiwanese population .
Univariate analysis for the effects of receptor for advanced glycation end products (RAGE) genetic polymorphism and various clinicopatholgical parameters on the recurrence-free survival and overall survival of the patients with uterine cervical cancer
|Recurrence-free survival||Overall survival|
|Variable||p value||HR & 95% CIb||p value||HR & 95% CIb|
|RAGE genetic polymorphism|
|rs1800624 TA/AA vs TTa||0.156||0.35 (0.08-1.49)||0.204||0.39 (0.09-1.67)|
|≥ stage II vs stage Ia||0.002||4.05 (1.67-9.83)||0.002||4.31 (1.70-10.91)|
|moderate & poor (grades 2/3) vs well (grade 1)a||0.084||3.61 (0.84-15.48)||0.046||7.74 (1.04-57.78)|
|Stromal invasion depth|
|>10 mm vs ≤10 mma||0.002||4.01 (1.65-9.70)||0.003||4.15 (1.62-10.61)|
|>4 cm vs ≤ 4cma||0.013||2.87 (1.25-6.58)||0.007||3.26 (1.39-7.62)|
|invasion vs no invasiona||0.016||2.71 (1.21-6.07)||0.001||3.76 (1.66-8.49)|
|invasion vs no invasiona||0.022||2.59 (1.15-5.85)||0.394||1.47 (0.61-3.59)|
|Pelvic lymph node|
|metastasis vs no metastasisa||0.002||3.67 (1.64-8.22)||0.001||4.06 (1.80-9.16)|
Statistical analyses: Kaplan-Meier curve model
aAs a comparison reference
bHR, hazard ratio and 95% CI, 95% confidence interval for RAGE genetic variant and clinicopathological variables, compared to their respective controls.
Multivariate analysis for the effects of receptor for advanced glycation end products (RAGE) genetic polymorphism and various clinicopatholgical parameters on the recurrence-free survival and overall survival of the patients with uterine cervical cancer
|Recurrence-free survival||Overall survival|
|Variable||p value||HR & 95% CIb||p value||HR & 95% CIb|
|RAGE genetic polymorphism|
|rs1800624 TA/AA vs TTa||0.409||0.54 (0.12-2.36)||0.330||0.36 (0.04-2.85)|
|≥ stage II vs stage Ia||0.004||3.86 (1.56-9.55)||>0.05||u.a.|
|Pelvic lymph node|
|metastasis vs no metastasisa||>0.05||u.a.||0.009||3.30 (1.35-8.08)|
aAs a comparison reference
bHR, hazard ratio and 95% CI, 95% confidence interval for RAGE genetic polymorphism and clinicopathological variables, compared to their respective controls.
Because rs1800624 was associated with some clinicopathological variables, we analyzed its impact on patient survival. Our univariate and multivariate analysis results indicated no association of rs1800624 with patient survival. Few studies have reported the effect of rs1800624 on cervical cancer prognosis. Yamaguchi et al. revealed that rs1800624 and rs1800625 were not associated with 5-year survival rates in patients with metastatic lung adenocarcinoma; however, the authors demonstrated that RAGE SNP rs2070600 was independently related to systemic inflammation and predicted 5-year mortality in these patients by using a multivariate Cox proportional hazard model . Our relatively small sample size and long inclusion time interval of some patients may have limited the applicability of our results. By using univariate analysis, more advanced stage, deep stromal invasion, large tumor size, parametrium and vagina invasion, as well as pelvic lymph node metastasis were found to be crucial variables in determining the recurrence-free survival of patients with cervical cancer. In addition, more advanced stage, cell grading, deep stromal invasion, large tumor size, parametrium invasion, as well as pelvic lymph node metastasis were predictive of overall survival in our study. By using a multivariate Cox proportional hazard analysis after including rs1800624, we revealed that only a more advanced cancer stage was an independent predictor of recurrence and only pelvic lymph node metastasis a critical predictor of overall survival in patients with cervical cancer. This corroborates the finding of other studies that lymph node metastasis is the most crucial prognostic variable for death in patients with cervical cancer [37, 38]. Kamura et al. demonstrated that the 5-year survival rate significantly decreased from 85%-90% to 30%-50% in cervical cancer patients with positive pelvic lymph nodes .
In conclusion, RAGE SNPs are not associated with a susceptibility to precancerous lesions and invasive cancer of uterine cervix in Taiwanese women. However, cervical cancer patients with the TA/AA genotypes of rs1800624 exhibit a lower risk of parametrium invasion, moderate-to-poor cell differentiation, and pelvic lymph node metastasis. However, in this study, no RAGE SNP is associated with patient survival; only pelvic lymph node metastasis could independently predict poor overall survival in our patients.
This study was supported by research grants from Ministry of Science and Technology (MOST 105-2314-B-040-016-MY2) and Chung Shan Medical University Hospital (CSH-2017-D-002).
The authors have declared that no competing interest exists.
1. Bharti AC, Shukla S, Mahata S, Hedau S, Das BC. Anti-human papillomavirus therapeutics: facts & future. Indian J Med Res. 2009;130:296-310
2. Baak JP, Kruse AJ, Robboy SJ, Janssen EA, van Diermen B, Skaland I. Dynamic behavioural interpretation of cervical intraepithelial neoplasia with molecular biomarkers. J Clin Pathol. 2006;59:1017-1028
3. The 1988 Bethesda System for reporting cervical/vaginal cytological diagnoses. National Cancer Institute Workshop. JAMA. 1989;262:931-934
4. Khan MJ, Castle PE, Lorincz AT, Wacholder S, Sherman M, Scott DR, Rush BB, Glass AG, Schiffman M. The elevated 10-year risk of cervical precancer and cancer in women with human papillomavirus (HPV) type 16 or 18 and the possible utility of type-specific HPV testing in clinical practice. J Natl Cancer Inst. 2005;97:1072-1079
5. Hudson BI, Schmidt AM. RAGE: a novel target for drug intervention in diabetic vascular disease. Pharm Res. 2004;21:1079-1086
6. Sugaya K, Fukagawa T, Matsumoto K, Mita K, Takahashi E, Ando A, Inoko H, Ikemura T. Three genes in the human MHC class III region near the junction with the class II: gene for receptor of advanced glycosylation end products, PBX2 homeobox gene and a notch homolog, human counterpart of mouse mammary tumor gene int-3. Genomics. 1994;23:408-419
7. Brett J, Schmidt AM, Yan SD, Zou YS, Weidman E, Pinsky D, Nowygrod R, Neeper M, Przysiecki C, Shaw A and. et al. Survey of the distribution of a newly characterized receptor for advanced glycation end products in tissues. Am J Pathol. 1993;143:1699-1712
8. Park S, Yoon SJ, Tae HJ, Shim CY. RAGE and cardiovascular disease. Front Biosci (Landmark Ed). 2011;16:486-497
9. Sims GP, Rowe DC, Rietdijk ST, Herbst R, Coyle AJ. HMGB1 and RAGE in inflammation and cancer. Annu Rev Immunol. 2010;28:367-388
10. Ramasamy R, Yan SF, Schmidt AM. RAGE: therapeutic target and biomarker of the inflammatory response-the evidence mounts. J Leukoc Biol. 2009;86:505-512
11. Pang X, Zhang Y, Zhang S. High-mobility group box 1 is overexpressed in cervical carcinoma and promotes cell invasion and migration in vitro. Oncol Rep. 2017;37:831-840
12. Fritz G. RAGE: a single receptor fits multiple ligands. Trends Biochem Sci. 2011;36:625-632
13. Raucci A, Cugusi S, Antonelli A, Barabino SM, Monti L, Bierhaus A, Reiss K, Saftig P, Bianchi ME. A soluble form of the receptor for advanced glycation endproducts (RAGE) is produced by proteolytic cleavage of the membrane-bound form by the sheddase a disintegrin and metalloprotease 10 (ADAM10). FASEB J. 2008;22:3716-3727
14. Mizumoto S, Sugahara K. Glycosaminoglycans are functional ligands for receptor for advanced glycation end-products in tumors. FEBS J. 2013;280:2462-2470
15. Shastry BS. SNPs: impact on gene function and phenotype. Methods Mol Biol. 2009;578:3-22
16. Chou CH, Chou YE, Chuang CY, Yang SF, Lin CW. Combined effect of genetic polymorphisms of AURKA and environmental factors on oral cancer development in Taiwan. PLoS One. 2017;12:e0171583
17. Hua KT, Liu YF, Hsu CL, Cheng TY, Yang CY, Chang JS, Lee WJ, Hsiao M, Juan HF, Chien MH, Yang SF. 3'UTR polymorphisms of carbonic anhydrase IX determine the miR-34a targeting efficiency and prognosis of hepatocellular carcinoma. Sci Rep. 2017;7:4466
18. Su CW, Chien MH, Lin CW, Chen MK, Chow JM, Chuang CY, Chou CH, Liu YC, Yang SF. Associations of genetic variations of the endothelial nitric oxide synthase gene and environmental carcinogens with oral cancer susceptibility and development. Nitric Oxide. 2018;79:1-7
19. Yang SF, Liu YF, Cheng CW, Yang WE, Lin WL, Ko JL, Wang PH. Impact of microRNA-34a and polymorphism of its target gene CA9 on susceptibility to uterine cervical cancer. Oncotarget. 2017;8:77860-77871
20. Yarden RI, Friedman E, Metsuyanim S, Olender T, Ben-Asher E, Papa MZ. MDM2 SNP309 accelerates breast and ovarian carcinogenesis in BRCA1 and BRCA2 carriers of Jewish-Ashkenazi descent. Breast Cancer Res Treat. 2008;111:497-504
21. Torres MC, Beltrame MH, Santos IC, Picheth G, Petzl-Erler ML, Pedrosa FO, Steffens MB, de Souza EM. Polymorphisms of the promoter and exon 3 of the receptor for advanced glycation end products (RAGE) in Euro- and Afro-Brazilians. Int J Immunogenet. 2012;39:155-160
22. Schmidt AM, Stern D. Atherosclerosis and diabetes: the RAGE connection. Curr Atheroscler Rep. 2000;2:430-436
23. Su SC, Hsieh MJ, Lin CW, Chuang CY, Liu YF, Yeh CM, Yang SF. Impact of HOTAIR Gene Polymorphism and Environmental Risk on Oral Cancer. J Dent Res. 2018;97:717-724
24. Su S, Chien M, Lin C, Chen M, Yang S. RAGE gene polymorphism and environmental factor in the risk of oral cancer. J Dent Res. 2015;94:403-411
25. Li T, Qin W, Liu Y, Li S, Qin X, Liu Z. Effect of RAGE gene polymorphisms and circulating sRAGE levels on susceptibility to gastric cancer: a case-control study. Cancer Cell Int. 2017;17:19
26. Park JH, Li L, Choi JW, Baek KH. The Association of -429T>C and -374T>A Polymorphisms in the RAGE Gene with Polycystic Ovary Syndrome. Int J Med Sci. 2016;13:451-456
27. Yamaguchi K, Iwamoto H, Sakamoto S, Horimasu Y, Masuda T, Miyamoto S, Nakashima T, Ohshimo S, Fujitaka K, Hamada H, Hattori N. AGER rs2070600 polymorphism elevates neutrophil-lymphocyte ratio and mortality in metastatic lung adenocarcinoma. Oncotarget. 2017;8:94382-94392
28. Su SC, Hsieh MJ, Chou YE, Fan WL, Yeh CB, Yang SF. Effects of RAGE Gene Polymorphisms on the Risk and Progression of Hepatocellular Carcinoma. Medicine (Baltimore). 2015;94:e1396
29. Clynes R, Moser B, Yan SF, Ramasamy R, Herold K, Schmidt AM. Receptor for AGE (RAGE): weaving tangled webs within the inflammatory response. Curr Mol Med. 2007;7:743-751
30. Sparvero LJ, Asafu-Adjei D, Kang R, Tang D, Amin N, Im J, Rutledge R, Lin B, Amoscato AA, Zeh HJ, Lotze MT. RAGE (Receptor for Advanced Glycation Endproducts), RAGE ligands, and their role in cancer and inflammation. J Transl Med. 2009;7:17
31. Tesarova P, Kalousova M, Zima T, Tesar V. HMGB1, S100 proteins and other RAGE ligands in cancer - markers, mediators and putative therapeutic targets. Biomed Pap Med Fac Univ Palacky Olomouc Czech Repub. 2016;160:1-10
32. Zhu X, Jin L, Zou S, Shen Q, Jiang W, Lin W, Zhu X. Immunohistochemical expression of RAGE and its ligand (S100A9) in cervical lesions. Cell Biochem Biophys. 2013;66:843-850
33. Tian T, Li X, Hua Z, Ma J, Wu X, Liu Z, Chen H, Cui Z. S100A7 promotes the migration, invasion and metastasis of human cervical cancer cells through epithelial-mesenchymal transition. Oncotarget. 2017;8:24964-24977
34. Yue L, Zhang Q, He L, Zhang M, Dong J, Zhao D, Ma H, Pan H, Zheng L. Genetic predisposition of six well-defined polymorphisms in HMGB1/RAGE pathway to breast cancer in a large Han Chinese population. J Cell Mol Med. 2016;20:1966-1973
35. Xu Q, Xue F, Yuan B, Zhang L, Li J, He Z. The interaction between RAGE gene polymorphisms and HPV infection in determining the susceptibility of cervical cancer in a Chinese population. Cancer Biomark. 2012;11:147-153
36. Chen CA, Liu CY, Chou HH, Chou CY, Ho CM, Twu NF, Kan YY, Chuang MH, Chu TY, Hsieh CY, Taiwan Cooperative Oncologic G. The distribution and differential risks of human papillomavirus genotypes in cervical preinvasive lesions: A Taiwan Cooperative Oncologic Group Study. Int J Gynecol Cancer. 2006;16:1801-1808
37. Kamura T, Tsukamoto N, Tsuruchi N, Saito T, Matsuyama T, Akazawa K, Nakano H. Multivariate analysis of the histopathologic prognostic factors of cervical cancer in patients undergoing radical hysterectomy. Cancer. 1992;69:181-186
38. Choi KH, Kim JY, Lee DS, Lee YH, Lee SW, Sung S, Park HH, Yoon SC, Hur SY, Park JS, Kim YS. Clinical impact of boost irradiation to pelvic lymph node in uterine cervical cancer treated with definitive chemoradiotherapy. Medicine (Baltimore). 2018;97:e0517
39. Monk BJ, Cha DS, Walker JL, Burger RA, Ramsinghani NS, Manetta A, DiSaia PJ, Berman ML. Extent of disease as an indication for pelvic radiation following radical hysterectomy and bilateral pelvic lymph node dissection in the treatment of stage IB and IIA cervical carcinoma. Gynecol Oncol. 1994;54:4-9
Corresponding author: Po-Hui Wang, MD, PhD. Institute of Medicine, Chung Shan Medical University, 110, Section 1, Chien-Kuo North Road, Taichung, 40201, Taiwan. Tel.: 886-4-24739595 ext. 21721; Fax: 884-4-24738493; E-mail: ginhow84921344com.tw